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Ivermectin for COVID-19: Addressing Potential Bias and Medical Fraud
Ivermectin has become a controversial potential medicine for coronavirus disease 2019. Some early studies suggested clinical benefits in treatment of infection. However, the body of evidence includes studies of varying quality. Furthermore, some trials have now been identified as potentially fraudul...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774052/ https://www.ncbi.nlm.nih.gov/pubmed/35071686 http://dx.doi.org/10.1093/ofid/ofab645 |
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author | Hill, Andrew Mirchandani, Manya Pilkington, Victoria |
author_facet | Hill, Andrew Mirchandani, Manya Pilkington, Victoria |
author_sort | Hill, Andrew |
collection | PubMed |
description | Ivermectin has become a controversial potential medicine for coronavirus disease 2019. Some early studies suggested clinical benefits in treatment of infection. However, the body of evidence includes studies of varying quality. Furthermore, some trials have now been identified as potentially fraudulent. We present a subgroup meta-analysis to assess the effects of stratifying by trial quality on the overall results. The stratification is based on the Cochrane Risk of Bias measures and raw data analysis where possible. The results suggest that the significant effect of ivermectin on survival was dependent on largely poor-quality studies. According to the potentially fraudulent study (risk ratio [RR], 0.08; 95% CI, 0.02–0.35), ivermectin improved survival ~12 times more in comparison with low-risk studies (RR, 0.96; 95% CI, 0.56–1.66). This highlights the need for rigorous quality assessments, for authors to share patient-level data, and for efforts to avoid publication bias for registered studies. These steps are vital to facilitate accurate conclusions on clinical treatments. |
format | Online Article Text |
id | pubmed-8774052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87740522022-01-21 Ivermectin for COVID-19: Addressing Potential Bias and Medical Fraud Hill, Andrew Mirchandani, Manya Pilkington, Victoria Open Forum Infect Dis Perspectives Ivermectin has become a controversial potential medicine for coronavirus disease 2019. Some early studies suggested clinical benefits in treatment of infection. However, the body of evidence includes studies of varying quality. Furthermore, some trials have now been identified as potentially fraudulent. We present a subgroup meta-analysis to assess the effects of stratifying by trial quality on the overall results. The stratification is based on the Cochrane Risk of Bias measures and raw data analysis where possible. The results suggest that the significant effect of ivermectin on survival was dependent on largely poor-quality studies. According to the potentially fraudulent study (risk ratio [RR], 0.08; 95% CI, 0.02–0.35), ivermectin improved survival ~12 times more in comparison with low-risk studies (RR, 0.96; 95% CI, 0.56–1.66). This highlights the need for rigorous quality assessments, for authors to share patient-level data, and for efforts to avoid publication bias for registered studies. These steps are vital to facilitate accurate conclusions on clinical treatments. Oxford University Press 2022-01-17 /pmc/articles/PMC8774052/ /pubmed/35071686 http://dx.doi.org/10.1093/ofid/ofab645 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Perspectives Hill, Andrew Mirchandani, Manya Pilkington, Victoria Ivermectin for COVID-19: Addressing Potential Bias and Medical Fraud |
title | Ivermectin for COVID-19: Addressing Potential Bias and Medical Fraud |
title_full | Ivermectin for COVID-19: Addressing Potential Bias and Medical Fraud |
title_fullStr | Ivermectin for COVID-19: Addressing Potential Bias and Medical Fraud |
title_full_unstemmed | Ivermectin for COVID-19: Addressing Potential Bias and Medical Fraud |
title_short | Ivermectin for COVID-19: Addressing Potential Bias and Medical Fraud |
title_sort | ivermectin for covid-19: addressing potential bias and medical fraud |
topic | Perspectives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774052/ https://www.ncbi.nlm.nih.gov/pubmed/35071686 http://dx.doi.org/10.1093/ofid/ofab645 |
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